Nonlinear Control of Engineering Systems: A Lyapunov-Based Approach

ISBN-13: 9781461265818 / Angielski / Miękka / 2012 / 394 str.

Warren E. Dixon; Aman Behal; Darren M. Dawson

Opis

This practical yet rigorous book provides a development of nonlinear, Lyapunov-based tools and their use in the solution of control-theoretic problems. Rich in motivating examples and new design techniques, the text balances theoretical foundations and real-world implementation.

Recenzje

"The text is a reference book which provides both mathematically rigorous theoretical development and the application of various nonlinear, Lyapunov-based techniques to a broad class of practical engineering systems, including mechanical, electrical, robotic, aerospace, and underactuated systems.... Each chapter contains an exposition of the necessary mathematical background and is provided with detailed references for further reading. For each of the systems examined, simulation results are presented. The material in the text is intended for readers with a background in undergraduate systems theory and is beneficial for students and practicing research and development engineers in the area of control. Beautifully written, the book includes a wide range of applications making it suitable for an extensive audience."

-ZENTRALBLATT MATH

Spis treści

Introduction Mechanical Systems Electrical Machines Robotic Systems Aerospace Systems Underactuated Systems Appendices A. Mathematical Background B. Supplementary Lemmas and Definitions Bibliography Index

O autorze

Recent advancements in Lyapunov-based design and analysis techniques
have applications to a broad class of engineering systems, including
mechanical, electrical, robotic, aerospace, and underactuated systems.
This book provides a practical yet rigorous development of nonlinear,
Lyapunov-based tools and their use in the solution of control-
theoretic problems; includes a wide range of applications, motivating
examples, and new design techniques making it suitable for an
extensive audience of graduate students, professional engineers, and
researchers in control systems, robotics, and applied mathematics.